ArticleACS applied materials & interfaces2025
Accelerated Development of Novel Biomass-Based Polyurethane Adhesives via Machine Learning.
Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Atom-Economic Synthesis and Morphology-Dependent Marine Biodegradation Behavior of 2‑Pyrone-4,6-Dicarboxylic Acid-Based Polyesteramide.Polymer science & technology (Washington, D.C.) · 2026Article
- Platform Potential ofJournal of agricultural and food chemistry · 2026Article
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Authors and funding
7 authors.
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Abstract
2-Pyrone-4,6-dicarboxylic acid (PDC) can be produced on a large scale from lignin by transformed bacteria, and its use as a bifunctional monomer to synthesize biomass-based polymers has been reported. Recently, excellent adhesive properties of the resulting biomass-based polymers were also reported, but their performance has not yet been optimized. In this study, we focus on improving the adhesive properties of PDC-based polyurethanes (PUs) by combining experiments and machine learning (ML). We synthesized an initial data set of 25 adhesive samples from different polyols and isocyanates with different isocyanate-to-hydroxyl ratios (
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Registered trials
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